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检索条件"机构=Key Lab of Data Engineering and Knowledge Engineering of MOE"
359 条 记 录,以下是281-290 订阅
排序:
Adaptive gradient methods with dynamic bound of learning rate
arXiv
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arXiv 2019年
作者: Luo, Liangchen Xiong, Yuanhao Liu, Yan Sun, Xu MOE Key Lab of Computational Linguistics School of EECS Peking University College of Information Science and Electronic Engineering Zhejiang University Department of Computer Science University of Southern California Center for Data Science Beijing Institute of Big Data Research Peking University
Adaptive optimization methods such as ADAGRAD, RMSPROP and ADAM have been proposed to achieve a rapid training process with an element-wise scaling term on learning rates. Though prevailing, they are observed to gener... 详细信息
来源: 评论
Chinese Emergency Event Extraction Based on Contrastive Learning with Event Semantic Features  19
Chinese Emergency Event Extraction Based on Contrastive Lear...
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19th International Conference on Natural Computation, Fuzzy Systems and knowledge Discovery, ICNC-FSKD 2023
作者: Sheng, Xinyi Gu, Jinguang Yan, Youcheng Xu, Fangfang Wuhan University of Science and Technology College of Computer Science and Technology Wuhan430065 China Institute of Big Data Science and Engineering Wuhan University of Science and Technology Wuhan430065 China The Key Lab. of Rich-Media Knowledge Org. and Serv. of Digit. Publ. Content Inst. of Sci. and Tech. Info. of China Beijing100038 China
Extracting emergency events from a large amount of unstructured information is essential for improving early warning and emergency response. Existing event extraction methods for specialist fields often rely on well-d... 详细信息
来源: 评论
SLMP: A Scientific Literature Management Platform Based on Large Language Models
SLMP: A Scientific Literature Management Platform Based on L...
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IEEE International Conference on Big knowledge (ICBK)
作者: Menghao Guo Jinling Jiang Fan Wu Shanxin Sun Chen Zhang Wenhui Li Zeyi Sun Guangyong Chen Xindong Wu Research Center for Life Sciences Computing Zhejiang Lab Hangzhou China Research Center for Data Hub and Security Zhejiang Lab Hangzhou China Research Center for High Efficiency Computing System Zhejiang Lab Hangzhou China Key Laboratory of Knowledge Engineering With Big Data Hefei University of Technology Hefei China
This paper presents a Scientific Literature Management Platform (SLMP, demo link 1 ) based on large language models (LLMs). The platform consists of four modules: literature management, literature extraction, literatu... 详细信息
来源: 评论
Pathological Brain Detection Based on Online Sequential Extreme Learning Machine
Pathological Brain Detection Based on Online Sequential Extr...
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2016 IEEE International Conference on Progress in Informatics and Computing
作者: Siyuan Lu Hainan Wang Xueyan Wu Shuihua Wang School of Computer Science and Technology Nanjing Normal University State Key Lab of CAD & CG Zhejiang University Key laboratory of symbolic computation and knowledge engineering of ministry of education Jilin University Key Laboratory of Statistical information technology and data mining State Statistics Bureau Department of Electrical Engineering The City College of New YorkCUNY
Magnetic resonance imaging(MRI) is a kind of imaging modality, which offers clearer images of soft tissues than computed tomography(CT). It is especially suitable for brain disease detection. It is beneficial to detec... 详细信息
来源: 评论
Attention-Constrained Inference For Robust Decoder-Only Text-to-Speech
Attention-Constrained Inference For Robust Decoder-Only Text...
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IEEE Spoken Language Technology Workshop
作者: Hankun Wang Chenpeng Du Yiwei Guo Shuai Wang Xie Chen Kai Yu Department of Computer Science and Engineering MoE Key Lab of Artificial Intelligence AI Institute X-LANCE Lab Shanghai Jiao Tong University Shanghai China Shenzhen Research Institute of Big Data The Chinese University of Hong Kong Shenzhen China
Recent popular decoder-only text-to-speech models are known for their ability of generating natural-sounding speech. However, such models sometimes suffer from word skipping and repeating due to the lack of explicit m... 详细信息
来源: 评论
ATTENTION-CONSTRAINED INFERENCE FOR ROBUST DECODER-ONLY TEXT-TO-SPEECH
arXiv
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arXiv 2024年
作者: Wang, Hankun Du, Chenpeng Guo, Yiwei Wang, Shuai Chen, Xie Yu, Kai MoE Key Lab of Artificial Intelligence AI Institute X-LANCE Lab Department of Computer Science and Engineering Shanghai Jiao Tong University Shanghai China Shenzhen Research Institute of Big Data The Chinese University of Hong Kong Shenzhen China
Recent popular decoder-only text-to-speech models are known for their ability of generating natural-sounding speech. However, such models sometimes suffer from word skipping and repeating due to the lack of explicit m... 详细信息
来源: 评论
UniCATS: A Unified Context-Aware Text-to-Speech Framework with Contextual VQ-Diffusion and Vocoding
arXiv
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arXiv 2023年
作者: Du, Chenpeng Guo, Yiwei Shen, Feiyu Liu, Zhijun Liang, Zheng Chen, Xie Wang, Shuai Zhang, Hui Yu, Kai MoE Key Lab of Artificial Intelligence AI Institute X-LANCE Lab Department of Computer Science and Engineering Shanghai Jiao Tong University Shanghai China Shenzhen Research Institute of Big Data Shenzhen China AISpeech Ltd Beijing China
The utilization of discrete speech tokens, divided into semantic tokens and acoustic tokens, has been proven superior to traditional acoustic feature mel-spectrograms in terms of naturalness and robustness for text-to... 详细信息
来源: 评论
Prototype and Instance Contrastive Learning for Unsupervised Domain Adaptation in Speaker Verification
Prototype and Instance Contrastive Learning for Unsupervised...
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International Symposium on Chinese Spoken Language Processing
作者: Wen Huang Bing Han Zhengyang Chen Shuai Wang Yanmin Qian Department of Computer Science and Engineering Auditory Cognition and Computational Acoustics Lab MoE Key Lab of Artificial Intelligence AI Institute Shanghai Jiao Tong University Shanghai Shenzhen Research Institute of Big Data The Chinese University of Hong Kong Shenzhen
Speaker verification system trained on one domain usually suffers performance degradation when applied to another domain. To address this challenge, researchers commonly use feature distribution matching-based methods... 详细信息
来源: 评论
Neural pose transfer by spatially adaptive instance normalization
arXiv
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arXiv 2020年
作者: Wang, Jiashun Wen, Chao Fu, Yanwei Lin, Haitao Zou, Tianyun Xue, Xiangyang Zhang, Yinda Fudan University Google LLC School of Data Science MOE Frontiers Center for Brain Science Shanghai Key Lab of Intelligent Information Processing Fudan University Academy of Engineering and Technology Institute of AI and Robotics Fudan University
Pose transfer has been studied for decades, in which the pose of a source mesh is applied to a target mesh. Particularly in this paper, we are interested in transferring the pose of source human mesh to deform the tar... 详细信息
来源: 评论
Neural Pose Transfer by Spatially Adaptive Instance Normalization
Neural Pose Transfer by Spatially Adaptive Instance Normaliz...
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Conference on Computer Vision and Pattern Recognition (CVPR)
作者: Jiashun Wang Chao Wen Yanwei Fu Haitao Lin Tianyun Zou Xiangyang Xue Yinda Zhang Fudan University School of Data Science and MOE Frontiers Center for Brain Science Shanghai Key Lab of Intelligent Information Processing Fudan University Academy of Engineering and Technology and Institute of AI and Robotics Fudan University Google LLC
Pose transfer has been studied for decades, in which the pose of a source mesh is applied to a target mesh. Particularly in this paper, we are interested in transferring the pose of source human mesh to deform the tar... 详细信息
来源: 评论